A Study on the Anomaly Detection of Engine Clutch Engagement/Disengagement Using Machine Learning for Transmission Mounted Electric Drive Type Hybrid Electric Vehicles

A Study on the Anomaly Detection of Engine Clutch Engagement/Disengagement Using Machine Learning for Transmission Mounted Electric Drive Type Hybrid Electric Vehicles

Transmission mounted electric drive type hybrid electric vehicles (HEVs) engage/disengage an engine clutch when EV↔HEV mode transitions occur. If this engine clutch is not adequately engaged or disengaged, driving power is not transmitted correctly. Therefore, it is required to verify whether engine...

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Détails bibliographiques
Auteurs principaux: Yonghyeok Ji, Seongyong Jeong, Yeongjin Cho, Howon Seo, Jaesung Bang, Jihwan Kim, Hyeongcheol Lee
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
fault detection
anomaly detection
hybrid electric vehicle
transmission mounted electric drive
engine clutch engagement/disengagement
machine learning
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Accès en ligne:https://doaj.org/article/70700a112af74cde9732947e86560643
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https://doaj.org/article/70700a112af74cde9732947e86560643

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